Pandas, XGBoost, Spark, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, model observability, LIME, Delta Lake, explainability frameworks, drift detection

AWS, Databricks, Nltk, Natural Language Processing, Tensorflow, Apache Spark, Pandas, Pytorch, Azure, Gcp, fine-tuning LLMs, OpenAI, gensim, scikit-learn, mlflow, vector databases, Langchain, HuggingFace

Java, Microservices, MLops, Docker, Databricks, Rest Apis, Kubernetes, Python, MLflow, GenAIOps, SageMaker, Kubeflow

Pyspark, Machine Learning, MLops, Python, Sql

Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms